Generic health status measures such as the SF-12 provide important informations about health-related quality-of-life (HRQL), but they do not incorporate preferences for health states and cannot be used for the calculation of qualityadjusted life-years (QALYs). It follows that in order to conduct a cost-effectiveness analysis it is common to use mapping algorithms to estimate preference-based HRQL intruments scores from SF-12 scores. Here we consider the problem of directly predicting EQ-5D responses rather than utility values, and in recognising that there might be dependence between the five dimensions of EQ-5D responses, and that the possible levels of each dimension are ordered, we explore the behaviour of a multivariate ordered probit regression model.
Conigliani, C., Tancredi, A., Manca, (2012). Predicting EQ-5D responses from SF-12: should we take into account dependece and ordering?. In Proceedings of the 46th Scientific Meeting of the Italian Statistical Society.
Predicting EQ-5D responses from SF-12: should we take into account dependece and ordering?
CONIGLIANI, CATERINA;
2012-01-01
Abstract
Generic health status measures such as the SF-12 provide important informations about health-related quality-of-life (HRQL), but they do not incorporate preferences for health states and cannot be used for the calculation of qualityadjusted life-years (QALYs). It follows that in order to conduct a cost-effectiveness analysis it is common to use mapping algorithms to estimate preference-based HRQL intruments scores from SF-12 scores. Here we consider the problem of directly predicting EQ-5D responses rather than utility values, and in recognising that there might be dependence between the five dimensions of EQ-5D responses, and that the possible levels of each dimension are ordered, we explore the behaviour of a multivariate ordered probit regression model.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.